Samson, Grace and Joan, Lu (2016) PaX-DBSCAN: a proposed algorithm for improved clustering. Economic Studies Science Notebooks, 6. pp. 86-121. ISSN 2083-8611

We focused on applying parallel computing technique to the bulk loading of X-tree in other to improve the performance of DBSCAN clustering algorithm. We have given a full description of how the system can be archived. We proposed a new parallel algorithm for DBSCAN and another algorithm to extend the X-tree spatial indexing structure. Spatial database systems incorporate space in database systems, they support non-traditional data types and more complex queries, therefore in order to optimise such systems for efficient information processing and retrieval, appropriate techniques must be adopted to facilitate the construction of suitable index structures.

PaX-DBSCAN Final correction.docx - Submitted Version
Restricted to Repository staff only

Download (1MB)
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email